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Democrat · New York House, district 140

Serving since Jan 6, 2021NY 2025–26 session

Portrait of Bill Conrad, rendered as a two-tone print
Official portrait
62%
of sponsored bills got out of committee, in the top 5% of the New York House

62% of 85 sponsored bills got out of committee; the average for the New York House is 20%. Ranks 3rd of 148, where 1st is the highest share.

The share of bills Conrad sponsored that a committee reported out or a chamber passed, ranked within the New York House. Members of the majority party and committee chairs move more bills, so the rank reflects position as well as effort.

At a glance

6 measures against State House Democrats. Conrad sits at −0.30 on the CSIP scale, more conservative than 92% of State House Democrats. 26% of Conrad’s statements claim credit, 1.8 times the State House Democrat average of 14%.

The measures on which Conrad sits furthest from the middle of State House Democrats, each against the same group, with the CSIP score when there is one. Every number is explained in its own section below.

Out of committee

62%

New York House average 20% · ranks 3rd of 148

CSIP ideology

−0.30

More conservative than 92% of State House Democrats · ± 0.03

Credit claiming

26%

State House Democrats average 14% · ranks 136th of 764

Talk-to-bills agreement

0.64

State House Democrats average 0.54 · ranks 99th of 503

Personal attacks

0%

State House Democrats average 2.5% · ranks 584th of 764

Party unity

88%

New York House average 92.9% · ranks 110th of 149 · 164 votes against the majority of New York House Democrats

Peer group: State House Democrats. Rank 1 is the highest value in the group; the thick bar is Conrad, the thin grey bar the peer average. The headline is the measure on which Conrad is most unusual among peers (Methods, §08).

Back to topNext: What politicians say

What Conrad says

Conrad attacks opponents personally less than 76% of State House Democrats. Personal attacks in 0% of 391 statements, against 2.5% for the average State House Democrat; 584th of 764.

An AI model reads each of Conrad’s 391 statements in the NY 2025–26 session (391 posts on X) and marks the kinds of statement it contains: a personal attack, criticism of a policy, discussion of policy, bipartisanship, credit claiming, and extreme labels. A statement can carry several. Every rate is compared with the average for State House Democrats and ranked among them.

Kinds of statement

Share of statements carrying each label, the NY 2025–26 session

0%80%
Conrad
Peers
Rank
Policy discussion165 statements
42%
39%
350th of 764
Credit claiming100 statements
26%
14%
136th of 764
Policy criticism14 statements
4%
10%
543rd of 764
Bipartisanship9 statements
2%
3%
333rd of 764
Personal attacks0 statements
0%
3%
584th of 764
Show the data
Conrad's share of statements in each category against the State House Democrats average.
RowConradPeers
Policy discussion42%39%
Credit claiming26%14%
Policy criticism4%10%
Bipartisanship2%3%
Personal attacks0%3%
391

statements classified

391 posts on X.

posts on X: 391 (100.0%)posts on X 391
Show the data
Conrad's statements by source
PartValue
posts on X391
How to read the bars

The thick bar is Conrad; the thin grey bar is the average State House Democrats. A longer thick bar means Conrad does this more than peers. Rank 1 is the highest rate in the group.

Extreme labels

Conrad used no extreme labels in 391 statements. The peer average is 1.0%.

No extreme labels in this window.

Who gets the labels

Targets named alongside an extreme label, by number of statements

No targets recorded.

What an extreme label is

Calls a politician, a party or a policy “far left”, “far right”, “MAGA”, “extreme”, “radical”, “woke”, “fascist” or “communist”. The target is who or what the label was aimed at. The lists show the five most used labels and targets; the toggle shows the rest.

Month by month

Share of statements per month, the NY 2025–26 session

Statements2025-01: 232025-02: 162025-03: 192025-04: 122025-05: 302025-06: 122025-07: 222025-08: 212025-09: 182025-10: 242025-11: 202025-12: 92026-01: 132026-02: 152026-03: 292026-04: 162026-05: 212026-06: 242026-07: 142026-08: 112026-09: 92026-10: 13peak 30 · May ’25Personal attackspeak 0.0% · Jan ’25 · latest 0.0%Personal attacks, 2025-01: 0.0% of 23Personal attacks, 2025-02: 0.0% of 16Personal attacks, 2025-03: 0.0% of 19Personal attacks, 2025-04: 0.0% of 12Personal attacks, 2025-05: 0.0% of 30Personal attacks, 2025-06: 0.0% of 12Personal attacks, 2025-07: 0.0% of 22Personal attacks, 2025-08: 0.0% of 21Personal attacks, 2025-09: 0.0% of 18Personal attacks, 2025-10: 0.0% of 24Personal attacks, 2025-11: 0.0% of 20Personal attacks, 2025-12: not plotted (fewer than 10 statements)Personal attacks, 2026-01: 0.0% of 13Personal attacks, 2026-02: 0.0% of 15Personal attacks, 2026-03: 0.0% of 29Personal attacks, 2026-04: 0.0% of 16Personal attacks, 2026-05: 0.0% of 21Personal attacks, 2026-06: 0.0% of 24Personal attacks, 2026-07: 0.0% of 14Personal attacks, 2026-08: 0.0% of 11Personal attacks, 2026-09: not plotted (fewer than 10 statements)Personal attacks, 2026-10: 0.0% of 13Policy criticismpeak 15.8% · Mar ’25 · latest 0.0%Policy criticism, 2025-01: 0.0% of 23Policy criticism, 2025-02: 6.3% of 16Policy criticism, 2025-03: 15.8% of 19Policy criticism, 2025-04: 0.0% of 12Policy criticism, 2025-05: 0.0% of 30Policy criticism, 2025-06: 0.0% of 12Policy criticism, 2025-07: 0.0% of 22Policy criticism, 2025-08: 0.0% of 21Policy criticism, 2025-09: 5.6% of 18Policy criticism, 2025-10: 4.2% of 24Policy criticism, 2025-11: 10.0% of 20Policy criticism, 2025-12: not plotted (fewer than 10 statements)Policy criticism, 2026-01: 15.4% of 13Policy criticism, 2026-02: 6.7% of 15Policy criticism, 2026-03: 3.5% of 29Policy criticism, 2026-04: 0.0% of 16Policy criticism, 2026-05: 0.0% of 21Policy criticism, 2026-06: 0.0% of 24Policy criticism, 2026-07: 7.1% of 14Policy criticism, 2026-08: 0.0% of 11Policy criticism, 2026-09: not plotted (fewer than 10 statements)Policy criticism, 2026-10: 0.0% of 13Policy discussionpeak 53.3% · Feb ’26 · latest 46.2%Policy discussion, 2025-01: 30.4% of 23Policy discussion, 2025-02: 43.8% of 16Policy discussion, 2025-03: 52.6% of 19Policy discussion, 2025-04: 41.7% of 12Policy discussion, 2025-05: 50.0% of 30Policy discussion, 2025-06: 50.0% of 12Policy discussion, 2025-07: 22.7% of 22Policy discussion, 2025-08: 38.1% of 21Policy discussion, 2025-09: 50.0% of 18Policy discussion, 2025-10: 37.5% of 24Policy discussion, 2025-11: 40.0% of 20Policy discussion, 2025-12: not plotted (fewer than 10 statements)Policy discussion, 2026-01: 38.5% of 13Policy discussion, 2026-02: 53.3% of 15Policy discussion, 2026-03: 48.3% of 29Policy discussion, 2026-04: 31.3% of 16Policy discussion, 2026-05: 52.4% of 21Policy discussion, 2026-06: 37.5% of 24Policy discussion, 2026-07: 42.9% of 14Policy discussion, 2026-08: 36.4% of 11Policy discussion, 2026-09: not plotted (fewer than 10 statements)Policy discussion, 2026-10: 46.2% of 13Bipartisanshippeak 9.5% · May ’26 · latest 0.0%Bipartisanship, 2025-01: 0.0% of 23Bipartisanship, 2025-02: 6.3% of 16Bipartisanship, 2025-03: 0.0% of 19Bipartisanship, 2025-04: 8.3% of 12Bipartisanship, 2025-05: 3.3% of 30Bipartisanship, 2025-06: 0.0% of 12Bipartisanship, 2025-07: 0.0% of 22Bipartisanship, 2025-08: 4.8% of 21Bipartisanship, 2025-09: 0.0% of 18Bipartisanship, 2025-10: 0.0% of 24Bipartisanship, 2025-11: 5.0% of 20Bipartisanship, 2025-12: not plotted (fewer than 10 statements)Bipartisanship, 2026-01: 0.0% of 13Bipartisanship, 2026-02: 0.0% of 15Bipartisanship, 2026-03: 0.0% of 29Bipartisanship, 2026-04: 6.3% of 16Bipartisanship, 2026-05: 9.5% of 21Bipartisanship, 2026-06: 4.2% of 24Bipartisanship, 2026-07: 0.0% of 14Bipartisanship, 2026-08: 0.0% of 11Bipartisanship, 2026-09: not plotted (fewer than 10 statements)Bipartisanship, 2026-10: 0.0% of 13Credit claimingpeak 54.2% · Jun ’26 · latest 15.4%Credit claiming, 2025-01: 26.1% of 23Credit claiming, 2025-02: 12.5% of 16Credit claiming, 2025-03: 26.3% of 19Credit claiming, 2025-04: 25.0% of 12Credit claiming, 2025-05: 43.3% of 30Credit claiming, 2025-06: 25.0% of 12Credit claiming, 2025-07: 13.6% of 22Credit claiming, 2025-08: 23.8% of 21Credit claiming, 2025-09: 38.9% of 18Credit claiming, 2025-10: 20.8% of 24Credit claiming, 2025-11: 10.0% of 20Credit claiming, 2025-12: not plotted (fewer than 10 statements)Credit claiming, 2026-01: 15.4% of 13Credit claiming, 2026-02: 26.7% of 15Credit claiming, 2026-03: 27.6% of 29Credit claiming, 2026-04: 6.3% of 16Credit claiming, 2026-05: 33.3% of 21Credit claiming, 2026-06: 54.2% of 24Credit claiming, 2026-07: 14.3% of 14Credit claiming, 2026-08: 27.3% of 11Credit claiming, 2026-09: not plotted (fewer than 10 statements)Credit claiming, 2026-10: 15.4% of 13Extreme labelspeak 0.0% · Jan ’25 · latest 0.0%Extreme labels, 2025-01: 0.0% of 23Extreme labels, 2025-02: 0.0% of 16Extreme labels, 2025-03: 0.0% of 19Extreme labels, 2025-04: 0.0% of 12Extreme labels, 2025-05: 0.0% of 30Extreme labels, 2025-06: 0.0% of 12Extreme labels, 2025-07: 0.0% of 22Extreme labels, 2025-08: 0.0% of 21Extreme labels, 2025-09: 0.0% of 18Extreme labels, 2025-10: 0.0% of 24Extreme labels, 2025-11: 0.0% of 20Extreme labels, 2025-12: not plotted (fewer than 10 statements)Extreme labels, 2026-01: 0.0% of 13Extreme labels, 2026-02: 0.0% of 15Extreme labels, 2026-03: 0.0% of 29Extreme labels, 2026-04: 0.0% of 16Extreme labels, 2026-05: 0.0% of 21Extreme labels, 2026-06: 0.0% of 24Extreme labels, 2026-07: 0.0% of 14Extreme labels, 2026-08: 0.0% of 11Extreme labels, 2026-09: not plotted (fewer than 10 statements)Extreme labels, 2026-10: 0.0% of 13Jan ’25Jul ’25Jan ’26Jul ’26Oct ’26
Show the data
Monthly rates for Conrad, each row shaded against its own peak, with statement volume. Months with fewer than 10 statements are left blank.
ColumnStatementsPersonal attacksPolicy criticismPolicy discussionBipartisanshipCredit claimingExtreme labels
Jan ’25230.0%0.0%30.4%0.0%26.1%0.0%
Feb ’25160.0%6.3%43.8%6.3%12.5%0.0%
Mar ’25190.0%15.8%52.6%0.0%26.3%0.0%
Apr ’25120.0%0.0%41.7%8.3%25.0%0.0%
May ’25300.0%0.0%50.0%3.3%43.3%0.0%
Jun ’25120.0%0.0%50.0%0.0%25.0%0.0%
Jul ’25220.0%0.0%22.7%0.0%13.6%0.0%
Aug ’25210.0%0.0%38.1%4.8%23.8%0.0%
Sep ’25180.0%5.6%50.0%0.0%38.9%0.0%
Oct ’25240.0%4.2%37.5%0.0%20.8%0.0%
Nov ’25200.0%10.0%40.0%5.0%10.0%0.0%
Dec ’259— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)
Jan ’26130.0%15.4%38.5%0.0%15.4%0.0%
Feb ’26150.0%6.7%53.3%0.0%26.7%0.0%
Mar ’26290.0%3.5%48.3%0.0%27.6%0.0%
Apr ’26160.0%0.0%31.3%6.3%6.3%0.0%
May ’26210.0%0.0%52.4%9.5%33.3%0.0%
Jun ’26240.0%0.0%37.5%4.2%54.2%0.0%
Jul ’26140.0%7.1%42.9%0.0%14.3%0.0%
Aug ’26110.0%0.0%36.4%0.0%27.3%0.0%
Sep ’269— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)
Oct ’26130.0%0.0%46.2%0.0%15.4%0.0%
How to read the strips

Each row is one kind of statement; each cell is a month, shaded against that row’s own peak (darker = closer to the peak), with the peak and the latest value written at the right. The top row counts statements. The strip covers every month of the NY 2025–26 session, the same span as the rates above, including months with no statements. A month with fewer than 10 statements is hatched, not shaded: one or two posts would swing its rate to 0% or 100%. 2 months are hatched here.

In Conrad’s words

Real statements from the classifier’s example set, with the labels it assigned

Bipartisanship

The text of this post is on X; follow the source link to read it.

Jun 12, 2026 · Posts on X (state legislators) · bipartisanship; credit claiming · Source

Credit claiming

The text of this post is on X; follow the source link to read it.

Oct 6, 2026 · Posts on X (state legislators) · policy discussion; credit claiming; Education; Transportation and Public Works · Source

Policy criticism

The text of this post is on X; follow the source link to read it.

Jul 20, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; Science, Technology, Communications; Environmental Protection · Source

Examples by category

Up to five recent statements in each category

Category

Overtly questions a named person’s character, integrity or loyalty, or calls them names. Criticising a record or a policy does not count.

No statements in this category in this window.

All 391 statements

Newest first, the NY 2025–26 session

The full feed

Five statements at a time, newest first; filters apply to the statements loaded so far. Export saves the statements that match. Sources: 391 posts on X.

Back to topNext: Policy

Policy

Education is what Conrad talks about most: 27% of policy statements, above the peer share. Talk and legislation agree at 0.64 on a 0–1 scale (State House Democrats average 0.54; 99th of 503).

Each policy statement is tagged by the AI model with one or more of 25 policy areas from the Congressional Research Service list, so the shares say what Conrad talks about. The bills Conrad sponsors and cosponsors carry the same areas, so the two can be compared.

What Conrad talks about

Share of policy statements by area, the NY 2025–26 session

0%35%
Conrad
Peers
Education43 statements
27%
15%
Energy19 statements
12%
4%
Health19 statements
12%
15%
Transportation and Public Works18 statements
11%
5%
Labor and Employment14 statements
9%
6%
Show the data
Policy areas Conrad talks about, as a share of policy statements, against the State House Democrats average.
RowConradPeers
Education27%15%
Energy12%4%
Health12%15%
Transportation and Public Works11%5%
Labor and Employment9%6%
How to read the bars

The thick bar is the share of Conrad’s policy statements in an area; the thin grey bar is the average share for State House Democrats. A statement counts once in each of its areas, so shares can add to more than 100%. The five largest areas are shown; the toggle shows the rest.

Talks about · legislates on

Left: share of statements by policy area. Right: share of bills. Areas in order of their share of statements; both sides run from 0 to 35%. Grey ticks are the State House Democrats averages.

Talks aboutLegislates onEducationEducation, talks about: 27% (State House Democrats 15%)27%Education, legislates on: 8% (State House Democrats 10%)8%EnergyEnergy, talks about: 12% (State House Democrats 4%)12%Energy, legislates on: 10% (State House Democrats 3%)10%HealthHealth, talks about: 12% (State House Democrats 15%)12%Health, legislates on: 10% (State House Democrats 15%)10%Transportation and PublicWorksTransportation and Public Works, talks about: 11% (State House Democrats 5%)11%Transportation and Public Works, legislates on: 9% (State House Democrats 5%)9%Labor and EmploymentLabor and Employment, talks about: 9% (State House Democrats 6%)9%Labor and Employment, legislates on: 10% (State House Democrats 6%)10%
Show the data
Conrad's share of statements against share of bills in each policy area.
AreaTalks aboutState House Democrats, talks aboutLegislates onState House Democrats, legislates on
Education27%15%8%10%
Energy12%4%10%3%
Health12%15%10%15%
Transportation and Public Works11%5%9%5%
Labor and Employment9%6%10%6%
0.64

talk-to-bills agreement, 0 to 1

State House Democrats average 0.54. Ranks 99th of 503.

What agreement means, and what it doesn’t

Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Conrad legislates on exactly the areas Conrad talks about, in the same proportions; 0 means no overlap. It does not say whether the bills match the positions in the statements, only the subjects. Bills Conrad sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.

Back to topNext: Ideology

Ideology

Conrad sits at −0.30 on the CSIP scale, left of 0, more conservative than 92% of State House Democrats. Approximate range −0.33 to −0.27, which understates the uncertainty; from 0 donors and 887 roll calls.

CSIP, the lab’s Common-Space Ideal Point, places every official, federal and state, on one left–right scale, estimated from roll-call votes, who gives money to whom, and the text of statements. Negative is left of 0, positive right of it; 0 is the centre of the scale, not a definition of “moderate”.

−0.30

CSIP ideal point

Approximate range −0.33 to −0.27. From 0 donors and 887 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0Conrad −0.3State House Democrats −0.6New York House −0.5All State House +0.1

The outlined dot is Conrad, coloured by its side of 0 (blue left, red right, deeper further out); the bar through it is the approximate range (±1.96 standard errors), which understates the uncertainty; the grey ticks below are the medians of Conrad’s groups. 0 is the centre of the scale, not “moderate” by definition.

What this means, and what it doesn’t

The score summarises how an official votes, who funds them and how they talk, relative to everyone else. It does not grade positions as good or bad, and two officials with the same score can differ on any single issue. The ± range is 1.96 standard errors, which understates the uncertainty: scores whose ranges overlap may not differ at all, and even scores whose ranges do not overlap may not differ.

Where Conrad sits

Every official in each group, on the CSIP scale

−2.0−1.00.0+1.0+2.0← More liberalMore conservative →State House Democratsmedian −0.6Conrad −0.3New York Housemedian −0.5All State Housemedian +0.1
Show the data
Conrad's CSIP score of −0.30 placed against State House Democrats, New York House, All State House.
GroupOfficialsMedianShare left of Conrad
State House Democrats2392−0.692%
New York House150−0.559%
All State House5324+0.141%
How to read the strips

Every small dot is one official on the same scale, coloured by its own score (blue left of 0, red right of 0, grey at 0, deeper further out) and spread up and down only to keep dots apart; where a group is crowded the dots overlap, and darker patches mean more officials. The large outlined dot is Conrad in every row; the rule is each group’s median. The table under the figure gives the share of each group to the left of Conrad.

Back to topNext: Money

Money

No campaign-finance data.No campaign-finance records are matched to this official.

Back to topNext: Votes

Votes

Conrad voted with the majority of New York House Democrats on 88% of party-line votes and missed 1.1% of 2,019 roll calls. New York House on average: 92.9% party unity, 93.9% attendance. Across all roll calls, Conrad voted against the majority of New York House Democrats 164 times.

2,019 roll calls Conrad could vote on in the NY 2025–26 session, compared with New York House. Attendance is the share with a vote recorded. Party unity counts only party-line roll calls, where most Democrats and most Republicans voted on opposite sides, and is the share of those where Conrad voted with the majority of New York House Democrats. The count of votes against that majority covers every roll call where the majority took a side.

164

votes against the majority of New York House Democrats

Party unity 88%, New York House average 92.9%, ranks 110th of 149. 2,019 roll calls in the NY 2025–26 session.

Attendance and party unity

The thick bar is Conrad, the thin grey bar the New York House average. The scale runs from 80% to 100% to show the gap.

80%100%
Conrad
Peers
Rank
Attendance
98.9%
93.9%
57th of 149
Party unity
88%
92.9%
110th of 149
Show the data
Conrad's attendance and party unity against New York House.
RowConradPeers
Attendance98.9%93.9%
Party unity88%92.9%
What this means, and what it doesn’t

A missed roll call has many causes, from illness to campaigning, so attendance says how often, not why. A vote against the majority can be on procedure as well as substance, and many fall on roll calls where both parties split; the key votes below show the ones that decided something.

Key votes

25 roll calls the lab flagged as key in the NY 2025–26 session

Key votes
Party split (yea–nay)Why it’s key
Jun 5, 2026
S 10586
Extends provisions relating to public hearings on proposed rules
Assembly Vote
YeaWith majoritypassD 86–0 · R 43–0Democrats 86 yea, 0 nay; Republicans 43 yea, 0 naybecame law
Jun 5, 2026
S 10001
Provides for a license to sell liquor at retail for consumption on certain premises
Assembly Vote
YeaWith majoritypassD 85–2 · R 43–0Democrats 85 yea, 2 nay; Republicans 43 yea, 0 naybecame law
Jun 5, 2026
S 10655
Relates to the compensation, benefits and other terms and conditions of employment of certain state officers and employees; repealer
Assembly Vote
YeaWith majoritypassD 86–0 · R 43–0Democrats 86 yea, 0 nay; Republicans 43 yea, 0 naybecame law
Jun 5, 2026
S 9862
Authorizes the town of Minisink to impose a hotel and motel tax
Assembly Vote
NayAgainst majoritypassD 64–23 · R 30–13Democrats 64 yea, 23 nay; Republicans 30 yea, 13 naybecame law · party crossover
Jun 5, 2026
S 9027
Authorizes the village of Ellicottville to impose a hotel and motel tax
Assembly Vote
NayAgainst majoritypassD 66–21 · R 30–13Democrats 66 yea, 21 nay; Republicans 30 yea, 13 naybecame law · party crossover
How key votes are chosen

Automatically: a final-passage or override vote where the measure became law, the margin was under 10%, at least 10% of either party voted against its majority, or the bill was among the 25 most mentioned in officials’ own statements. Up to 25 per window, most recent first; five are shown. Bars show yea on the left, nay on the right, per party.

Votes most often with

The colleagues who voted the same way as Conrad most often

  1. Karen McMahonD1,936 shared votes99%
  2. Pat CarrollD1,988 shared votes99%
  3. Kwani O'PharrowD1,972 shared votes99%
  4. Pat BurkeD1,851 shared votes99%
  5. Jen LunsfordD1,996 shared votes99%

Votes least often with

The colleagues who voted the same way as Conrad least often

  1. Chris FriendR1,817 shared votes70%
  2. Dave DiPietroR1,961 shared votes72%
  3. Dave McDonoughR944 shared votes75%
  4. Mike FitzpatrickR1,889 shared votes76%
  5. Andrew MolitorR1,997 shared votes77%
How to read the agreement lists

The share of roll calls both members voted on where they voted the same way, among colleagues sharing at least 50 such votes. High agreement with members of the other party is common on routine votes.

Full voting record

NY 2025–26 session, loads in batches

Back to topNext: Legislation

Legislation

Conrad sponsored 85 bills in the NY 2025–26 session; 2 became law. Cosponsored 224 others. 62% of sponsored bills got out of committee (New York House average 20%; 3rd of 148).

The bills Conrad sponsored and cosponsored in the NY 2025–26 session, from the official bill records, and how far each got: introduced, referred to or acted on in committee, passed one chamber, passed both, became law. A bill counts at every stage it has reached, so the blocks only shrink to the right.

Bills by stage

Counts for the NY 2025–26 session

Sponsored85 billsSponsored, Introduced: 8585Sponsored, In committee: 8585Sponsored, Passed one chamber: 5353Sponsored, Passed both chambers: 44Sponsored, Became law: 22Cosponsored224 billsCosponsored, Introduced: 224224Cosponsored, In committee: 224224Cosponsored, Passed one chamber: 3030Cosponsored, Passed both chambers: 2424Cosponsored, Became law: 1010IntroducedIncommitteePassed onechamberPassed bothchambersBecamelaw
Show the data
Bills Conrad sponsored and cosponsored, by furthest stage reached
RoleIntroducedIn committeePassed one chamberPassed both chambersBecame law
Sponsored85855342
Cosponsored224224302410
How to read the blocks

Ink blocks are bills Conrad sponsored, ochre blocks bills Conrad cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.

62%

of sponsored bills got out of committee

New York House average 20%. Ranks 3rd of 148.

Cosponsorship partners

Colleagues who most often cosponsor with Conrad, by number of shared bills in the NY 2025–26 session; the square shows their party.

  1. John McDonald41
  2. Karen McMahon40
  3. Judy Griffin38
  4. Angelo Santabarbara36
  5. Andrew Hevesi34
What this means, and what it doesn’t

The score is the share of sponsored bills that a committee reported out or a chamber passed, with at least 5 sponsored bills, ranked within the peer group. Members of the majority party and committee chairs move more bills, so the rank reflects position in the chamber as well as effort. Cosponsorship partners are the five colleagues who share the most of Conrad’s bills; the toggle shows more.

Bill list

Sponsored and cosponsored, with status and policy area; five are shown, the toggle shows the rest

Bills sponsored and cosponsored
A 11645Enacts the "just energy transition act"CosponsorJul 29, 2026In committeeEnergy(model)REFERRED TO ENERGY Jul 29, 2026
A 11560Enacts the responsible data center development actCosponsorJun 1, 2026Passed both chambersEnergy(model)RETURNED TO ASSEMBLY Jun 4, 2026
A 11430Authorizes the commissioner of education to conduct a study regarding the mass starvation in Ireland from 1845 until 1850CosponsorMay 15, 2026In committeeEducation(model)REFERRED TO EDUCATION May 15, 2026
K 1322Honoring Dr. Bonita Durand upon the occasion of her retirement after 25 years of distinguished service to Buffalo State UniversitySponsorMay 11, 2026Passed one chamberUnassignedADOPTED May 11, 2026
K 1323Commending Dr. Wendy A. Paterson for her years of service as Dean of the School of Education at Buffalo State UniversitySponsorMay 11, 2026Passed one chamberUnassignedADOPTED May 11, 2026

Back to topNext: Online

Online

A site that has not changed in 90 days. Conrad’s official site had 1 page when last crawled on Oct 1, 2026.

The lab crawls Conrad’s official and campaign websites (weekly for Congress, monthly for the states) and keeps every page’s text, so changes can be read later; it also records social accounts and describes the images Conrad posts with a vision model.

Websites

How to read the counts

“Pages crawled” is the size of the site at the last crawl; “changes in 90 days” counts pages whose text differed from the previous crawl. Sites change for many routine reasons, such as new press releases, so a high count is not by itself notable.

Images Conrad posted

No images from Conrad’s posts have been described.

About the descriptions

Written by a vision model and may be wrong. Open the post to see the original. Five are shown; the toggle shows the rest.

State floor speeches

114 turns, Feb 24, 2021 to Jun 4, 2026

Floor speeches

Transcribed from chamber video or captions by the lab. They are not classified for kinds of statement.

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Methods and sources

How this page was made. Profile built Oct 28, 2026; site last built Oct 28, 2026. Every number on the page is computed from the sources listed here, by the same rules for every official; nothing is written by hand.

The headline

The headline is the measure on which Conrad is most unusual among State House Democrats, chosen by one rule for every official of every party. The candidates are the rate of each kind of statement and of extreme labels, party unity, attendance, the small-donor share, the in-state share and total receipts of the latest cycle, the share of sponsored bills that got out of committee, talk-to-bills agreement, and the CSIP score’s place within the party group.

The builder ranks every measure within the same peer group the page compares it with, and writes each official’s percentile: the share of the group below the value, ties counting half, so 0.5 is the median and a value shared by many never ranks first. A measure’s score is how far that percentile sits from the median (0 in the middle, 0.5 at either end), and the highest score leads if it is above 0.25, outside the middle half of the group. Scores within 0.03 of each other are a tie, broken in this order: votes against the party majority, kinds of statement, ideology, roll calls missed, small donations, in-state money, legislation, agreement, extreme labels, receipts.

A measure counts only with at least 200 statements, 100 roll calls or 5 sponsored bills behind it and a peer group of at least 10. Two things never lead: high party unity or attendance, where most members sit, and a high rate of a kind of statement backed by fewer than 10 statements. When nothing qualifies, the headline is a neutral fact instead: statements classified, or years in office. The wording always names the direction (“in the bottom 5% of …”, “votes against the majority of …”).

Identifiers

Profile id
b03e8fcb-e9e1-4096-9483-654b3383341b
Open States
ocd-person/b03e8fcb-e9e1-4096-9483-654b3383341b

Bulk files with the same data for every official:

Freshness of this profile’s data

  • What politicians sayOct 27, 20261 days agoMembers of Congress: tweets since 2017; press releases, newsletters and floor speeches since 2022. State legislators: tweets since May 2024. Governors: tweets since January 2025. Labels from an LLM classifier.
  • Roll calls (state)Oct 21, 20267 days agoOpen States floor roll calls, 2019 on (none for AK and MO).
  • Bills (state)Oct 28, 2026todayOpen States bills and sponsors, 2019 on; stages from roll calls.
  • Campaign money (state)no dateState campaign-finance agencies, 2019 on; aggregates only.
  • Ideology (CSIP)Oct 25, 20263 days agoCommon-Space Ideal Points (CSIP), current validated run.
  • WebsitesOct 25, 20263 days agoWeekly crawls of federal sites since April 2026; monthly state crawls since June 2026.
  • State floor speechesOct 21, 20267 days agoState floor speech turns (published transcripts and captions), 2020 on; not LLM-classified.

How the measures work

What politicians say
Every post, press release, newsletter and congressional floor speech is read by a language model and marked for personal attacks, policy criticism, policy discussion, bipartisanship and credit claiming. A statement can be in several. Rates are shares of statements in the window. The methods paper.
Extreme labels
A statement has an extreme label when it calls a politician, party or policy “far left”, “far right”, “MAGA”, “extreme”, “radical”, “woke”, “fascist” or “communist”. The target is who the label is aimed at.
Policy areas and agreement
Statements and bills share 25 Congressional Research Service policy areas (state bills are assigned by a language model). Agreement is 1 − Jensen–Shannon distance between the two distributions, shown with at least 20 policy statements and 5 bills.
Ideology (CSIP)
Common-Space Ideal Points place federal and state officials on one left–right scale, estimated jointly from roll calls, campaign contributions and the text of statements, with standard errors. Only a validated run is shown. The methods paper.
Campaign money
Campaigns report by name only donors who give more than $200 in a cycle; smaller gifts are reported as one total. Federal totals and the small-donor share come from the FEC’s financial summaries of each campaign committee. Donor counts, donor states, employers and occupations cover itemized donors only. State filings report no small-gift totals, so state figures are itemized only. The lab never publishes donor names.
Votes and key votes
Attendance, party unity and the count of votes against the majority of an official’s own party come from roll calls (Voteview for Congress, chamber records for the states). Key votes are final-passage or override votes that became law, were decided by under 10%, saw at least 10% of a party vote against its majority, or concerned one of the 25 bills most mentioned in officials’ statements.
Peers and ranks
Comparisons are with the same party, chamber and level (for example House Democrats); state legislators are compared within their state and chamber for votes. Every comparison names its group. Rank 1 is the highest value in the group; tied values share the average of their ranks, and the percentile is the share of the group below the value, ties counting half.

America’s Political Pulse · Polarization Research Lab

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